Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations

Bibliographic Details
Main Author:	Lin, Nannan
Language:	English
Published:	The Ohio State University / OhioLINK 2014
Subjects:	Agriculture
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=osu1397730103

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-osu13977301032021-08-03T06:24:05Z Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations Lin, Nannan Agriculture Estimating total fuel consumption for various field operations can be problematic in that a substantial amount of fuel is consumed during dwell periods and in turns at the end of the field. Modeling of the fuel use rate distribution of field operations (tillage, seeding and nitrogen side dressing) was accomplished by 1) collecting Controller Area Network (CAN) bus data to characterize wheeled tractor performance, 2) extending the "specific" model (Grisso et al. 2010) for prediction of wheeled tractor performance, and 3) calibration and validation of the extended model for predicting total fuel consumption during actual field operations. Compared to the fuel consumption model in ASABE standard (2011), the extended model performs better, and addresses fuel consumption estimation during headland turning. Differences between predicted and measured total fuel consumption were less than 2% for four of eight fields evaluated tested. Greater than 70% of the fuel use rates grouped by constant ground speed were normally distributed for both working and turning periods for field operations including tillage and seeding. The predicted and measured total fuel use rate distributions exhibited similar shapes and magnitudes. 2014-08-18 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1397730103 http://rave.ohiolink.edu/etdc/view?acc_num=osu1397730103 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Agriculture
spellingShingle	Agriculture Lin, Nannan Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations
author	Lin, Nannan
author_facet	Lin, Nannan
author_sort	Lin, Nannan
title	Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations
title_short	Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations
title_full	Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations
title_fullStr	Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations
title_full_unstemmed	Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations
title_sort	prediction of wheeled tractor fuel use rate distributions from can-bus data for agricultural field operations
publisher	The Ohio State University / OhioLINK
publishDate	2014
url	http://rave.ohiolink.edu/etdc/view?acc_num=osu1397730103
work_keys_str_mv	AT linnannan predictionofwheeledtractorfueluseratedistributionsfromcanbusdataforagriculturalfieldoperations
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Prediction of Wheeled Tractor Fuel Use Rate Distributions from CAN-bus Data for Agricultural Field Operations

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